Lol, best quote in a while: "The long tail of weird stuff that a billion users do can be pretty crazy."
Could you not identify higher than normal viral scores and run some automatic checks on the links content to look for dodgy behavior (ie executing like / share links?) That would still end up with you being in a cat and mouse game of obscuring dodgyness but its a start.
Have you guys looked into sharing likelihoods of affected users? In other words I rarely share stuff I click on. If a higher than normal number of high view - low sharers like myself are sharing its either extremely popular or its spam. (Worth flagging for a manual check)
Yep, "URLs shared primarily by not-sharey people" sounds similar to a lot of classifiers we have.
Your job sounds pretty fun I must say.
Re:Twitter spam wave
by rossjudson on Friday April 04, 2014 @07:14AM
(#7530517)
I don't know if you hear this often enough, but thank you for fighting this fight. And I hope you're well paid for doing it.
I think it's safe to say that he/she probably is, at facebook.
Re:Twitter spam wave
by davidgerard on Friday April 04, 2014 @08:38AM
(#7530912)
Yes, I admin a FB group with sockpuppeting spammers daily, and it took me a while to understand why the "report account" facility didn't offer a "spam" option.
Re:Twitter spam wave
by Houshalter on Thursday April 03, 2014 @10:49PM
(#7528876)
Perhaps you can weight the flags of users. Like users who have flagged non-spam content in the past don't count, and people who have flagged lots of spam count more.
Yeah, we've played with that idea a bit. It doesn't help the sparseness problem (actually makes it worse), and if we took action as a direct result, it would give people the power to DoS content they disagree with.
For sites operating at a smaller scale, this could be a good way to surface content for manual review though.
Re:Twitter spam wave
by peterwwillis on Friday April 04, 2014 @10:36AM
(#7531625)
Could you hire people just to review/flag stuff on a part-time basis, ala Mechanical Turk? Or is the problem just not big enough to warrant the time/money investment?
I imagine that while spam is annoying, it probably doesn't impact your bottom line in a big way.
> shouldn't Twitter be able to pick these messages up automatically fairly fast
Theoretically, sure. As a human looking at an attack, it's usually pretty easy to pick out "obvious" attributes that they should have been able to catch. But when you're operating at a scale like us or Twitter, even stuff that looks like it's obviously-indicative-of-badness often has false-positives (posts flagged as spam that are not). The long tail of weird stuff that a billion users do can be pretty crazy.
At the same time, the "obvious" attributes of an attack are often very cheap for an attacker to change. Instead, we try to go after more expensive resources (domains, source IPs, etc).
> after (I assume) hundreds if not thousands of users have flagged them
Sadly, looking at flags of content is not a silver bullet. The signal is very sparse (a given spam post is rarely flagged), and nonspam posts are frequently flagged (religious and political speech are great examples - and they are the worst kind of false positive if you delete them as spam). These problems can be somewhat mitigated if you aggregate flags over a dimension that's expensive for the attacker (domain-posted, IP that posted the content, text shingles), but even then the recall isn't necessarily great and you could still catch e.g. controversial political domains.
> the spammers can't have unlimited IPs
True, though you can rent space on a botnet that has many, geographically-diverse, real-user IPs. Also, I imagine a significant chunk of posts to Twitter come from apps, many of which each use a single IP to post tons of content.
> Is there a reason the same techniques used in E-Mail aren't applicable to Twitter?
There's definitely some overlap. I'm not an expert at email anti-spam, but in general it's a relatively different problem. "Traditional" email spam is sent from some random email address on / via a compromised machine or open relay, and seems to be a relatively-well-solved. But it sounds like this twitter attack was caused by compromised accounts. At least anecdotally, it seems that email vendors are also not great at detecting this kind of attack. For example, my gmail account (with arguably the best spam protection in the industry?) gets a message every few weeks from some compromised friend's account. (i.e. someone had their email password stolen and the attacker is using it to "legitimately" send mail after authenticating to that email service with the correct password).